HiEPAC: High-Throughput and Energy-Efficient SRAM-Based Compute-in-Memory with Parallel Accumulation for DNNs
The growing demand for efficient deep learning inference on edge platforms necessitates hardware that is both precision-adaptive and resource-efficient. This work presents a highly efficient digital compute-in-memory (DCIM) SRAM macro that accelerates
Institutions
- Khalifa University of Science and Technology (AE)
- Indian Institute of Technology Indore (IN)
Publication Details
- Published
- 2025-10-07
- DOI
- https://doi.org/10.36227/techrxiv.175985404.48597094/v1
- Primary Topic
- Bacterial Genetics and Biotechnology
- Type
- article
- Field-Weighted Citation Impact
- 0.00